Staff Engineer - Trading, Real Time Pricing

Are you a thoughtful engineer who thrives on designing scalable systems that bring order and clarity to complex workflows? Do you enjoy collaborating across disciplines to deliver performant, intuitive solutions that empower users in high-stakes environments? Are you excited to leverage your technical expertise to build innovative order management functionality from the ground up? If so, we invite you to be a part of our innovative team. As a Staff Software Engineer on the Real Time Pricing team at Ridgeline, you’ll take a leading role in building core trading workflows used by investment professionals to place, route, and manage orders. You'll collaborate with product managers and designers to create seamless, high-performance experiences that meet the demands of a modern asset management platform. This role is ideal for someone who enjoys tackling multifaceted engineering challenges and wants to shape how trading technology works in a cloud-native, enterprise-grade system. You’ll work with cutting-edge technologies—including AI tools like GitHub Copilot and ChatGPT—to accelerate development and improve engineering outcomes. At Ridgeline, how we work matters as much as what we build. Ridgeliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions—not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high-performing culture. If this excites you, we’d love to meet you. You must be work authorized in the United States without the need for employer sponsorship. The impact you will have: Design and build a highly scalable, fault-tolerant real time pricing engine that delivers accurate, low-latency valuations across asset classes Architect and own systems capable of ingesting and processing high-throughput market data streams with consistency and resilience Develop services and APIs that ensure accuracy, performance, and auditability of pricing data across portfolio, compliance, and reporting workflows Collaborate closely with product and design partners to deliver elegant and effective user experiences around pricing and valuation Own features from conception to delivery with a high degree of autonomy and accountability Contribute to system architecture and promote engineering best practices across the team Leverage AI-assisted development tools such as Claude Code and ChatGPT to enhance productivity and code quality Participate in code reviews and mentor junior team members with a spirit of continuous learning and improvement Embrace a growth mindset, actively seek feedback, and look for opportunities to improve both systems and processes Communicate clearly and collaborate effectively in a fast-paced, high-performing environment What we look for: 8+ years of professional software engineering experience, ideally building enterprise SaaS or financial technology Demonstrated experience designing and operating real time pricing or market data systems at scale Deep understanding of fault tolerance, resilience patterns, and techniques for building highly available distributed systems Strong experience with modern programming languages such as Java, Kotlin, or Go Proven ability to architect and deliver high-throughput, low-latency data pipelines in production environments Familiarity with cloud-native development and distributed systems architecture Proven ability to own projects end-to-end and deliver high-quality software in production environments Comfort working in a fast-paced, startup environment with evolving priorities Commitment to testing, documentation, and writing maintainable code Excellent communication and collaboration skills Willingness to learn about cutting-edge technologies while cultivating deep domain expertise Serious interest in having fun at work Bonus: Experience with highly available systems Familiarity with investment workflows such as por ... (truncated, view full listing at source)